LLMs + vector search = RAG.<a href="http://RAG.In">In</a> this episode, we introduce you to Retrieval-Augmented Generation (RAG) and how it might allow us to better and more easily implement LLMs in our day-to-day work. We believe current LLMs are best used as an interface, and if we want to make enterprise search useful, RAGs can be the solution.

LLMs + vector search = RAG.In this episode, we introduce you to Retrieval-Augmented Generation (RAG) and how it might allow us to better and more easily implement LLMs in our day-to-day work. We believe current LLMs are best used as an interface, and if we want to make enterprise search useful, RAGs can be the solution.

LLMs + vector search = RAG.<a href="http://RAG.In" rel="noopener noreferrer">In</a> this episode, we introduce you to Retrieval-Augmented Generation (RAG) and how it might allow us to better and more easily implement LLMs in our day-to-day work. We believe current LLMs are best used as an interface, and if we want to make enterprise search useful, RAGs can be the solution.

Are we one step closer to using LLMs in practice?

Breaking down the latest developments in AI with two experts — Jasper Masemann, investment partner at Cherry Ventures, and Lutz Finger, a visiting senior lecturer at Cornell University's SC Johnson College of Business and CEO and Co-founder of R2Decide.

Business

Entrepreneurship

Technology

Breaking down the latest developments in AI with two experts — Jasper Masemann, investment partner at Cherry Ventures, and Lutz Finger, a visiting senior lecturer at Cornell University's SC Johnson College of Business and CEO and Co-founder of R2Decide.

Share Are we one step closer to using LLMs in practice?

Sign up to save your podcasts

Are we one step closer to using LLMs in practice?

Are we one step closer to using LLMs in practice?